Techniques for video oriented object and event classification have attracted much attention owing to the great potentials in surveillance, video summarization, video semantic understanding and search, advertisement, robotics, and human computer interface. Recent rapid advances have paved roads for video-oriented object and event recognition. However, there still exist many key issues unsolved, e.g. How to design effective and efficient features dedicated to video data? How to manage large-scale video database? How to handle low-quality videos? How to preserve privacy in surveillance application? The main purpose of this one day workshop is to provide a forum for researchers to discuss the latest progress in video based object and event classification, and also provide a platform for researchers to understand the main challenges and key issues in this area. Original high-quality papers are solicited on topics including, but not limited to

1. Feature design for video-based object and event classification
2. Machine learning techniques for video-based object and event classification
3. Video-based biometric (e.g. face, gesture, gait, etc)
4. Video-based object detection (e.g. human, car, etc)
5. Motion analysis in video (e.g. motion segmentation, structure from motion, etc)
6. Action, activity, and event classification in videos
7. Techniques for large-scale video analysis
8. Techniques for low-quality video analysis (e.g. super-resolution, video stabilization, etc)
9. Techniques for extracting semantics yet preserving privacy (e.g. blind vision, middleware)
10. Other video based applications